Recognizing Ventricular Fibrillation From an Area of a Mobile Phone
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|ClinicalTrials.gov Identifier: NCT01824212|
Recruitment Status : Completed
First Posted : April 4, 2013
Last Update Posted : March 23, 2016
Recognition of out of hospital cardiac arrest (OHCA) during an emergency call is based on standardized questions concerning the symptoms of OHCA. With this method cardiac arrest is recognized in 50-83% of cases. When the emergency medical dispatcher identifies cardiac arrest during the emergency call the survival of the patient improves. Accurate emergency medical service response is activated promptly and bystander will receive cardiopulmonary resuscitation (CPR) instructions. It has been estimated that proper implementation of CPR instructions will save thousands of lives each year.
If the ECG could be recorded by the mobile phone, transmitted during the emergency call to the dispatch centre and analysed there with the software of a semi-automated external defibrillator(AED), the recognition of cardiac arrest could be more accurate.
The aim of this study is to examine, if AED, with minimal size electrodes within an area of a mobile phone, is able to recognize reliably ventricular fibrillation (VF), the rhythm with the best prognosis in OHCA.
|Condition or disease|
|Study Type :||Observational|
|Actual Enrollment :||22 participants|
|Official Title:||Recognizing Ventricular Fibrillation From an Area of a Mobile Phone|
|Study Start Date :||November 2013|
|Actual Primary Completion Date :||March 2016|
|Actual Study Completion Date :||March 2016|
Patients to whom cardiac fibrillation will be induced during the implantation of an implantable cardioverter defibrillator (ICD) or patients with an already implanted ICD, which function needs to be revised and during the revision cardiac defibrillation will be induced.
- The ability of AED to recognise induced VF [ Time Frame: 24 hours ]The ability of AED to correctly recognise ventricular fibrillation from a bipolar ECG recorded within an area of mobile phone: is the recognition good enough to automatically divide the rhythm correctly into categories of shockable and non-shockable?
- Quality of VF [ Time Frame: 24 hour ]The recorded rhythms will be analysed, beside an AED, by two experienced cardiologists and categorised as shockable or non-shockable. The cardiologists also will assess the quality of the recordings and grade each recording according to three categories of quality: 1, bad; 2, average; 3, good.
To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT01824212
|North Karelia Central Hospital|
|Joensuu, Finland, 80210|
|Kuopio University Hospital|
|Kuopio, Finland, 70211|
|Study Director:||Helena Jäntti, MD, PhD||Kuopio University Hospital|
|Principal Investigator:||Sakari Syväoja, MD||North Karelia Central Hospital|